{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# More Examples for Using SpecDB (v2.0)\n",
    "\n",
    "## Examples are with IGMSpec\n",
    "    \n",
    "###   And also use pyigm \n",
    "    \n",
    "https://github.com/pyigm/pyigm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# import\n",
    "import os\n",
    "from astropy import units as u\n",
    "\n",
    "from specdb import query_catalog as spqcat\n",
    "from specdb import interface_db as spgidb\n",
    "from specdb import utils as spdbu\n",
    "from specdb.specdb import SpecDB, IgmSpec\n",
    "from specdb import specdb as sdbsdb\n",
    "\n",
    "from pyigm.surveys.llssurvey import LLSSurvey"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup Class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Database is igmspec\n",
      "Created on 2017-Jan-05\n"
     ]
    }
   ],
   "source": [
    "#igmsp = SpecDB(db_file=os.getenv('IGMSPEC_DB')+'/IGMspec_DB_v02.hdf5')\n",
    "reload(sdbsdb)\n",
    "igmsp = sdbsdb.IgmSpec()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<QueryCatalog:  Catalog has 403277 sources\n",
       "   Loaded groups are [u'BOSS_DR12', u'HSTQSO', u'SDSS_DR7', u'KODIAQ_DR1', u'MUSoDLA', u'HD-LLS_DR1', u'2QZ', u'ESI_DLA', u'XQ-100', u'UVES_Dall', u'GGG', u'UVpSM4', u'COS-Halos', u'HST_z2', u'COS-Dwarfs', u'HDLA100'] \n",
       ">"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "igmsp.qcat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Show a meta data table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "meta = igmsp['ESI_DLA'].meta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "&lt;Table length=3&gt;\n",
       "<table id=\"table4633585936\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>Name</th><th>RA_GROUP</th><th>DEC_GROUP</th><th>Plate</th><th>MJD</th><th>FiberID</th><th>zem_GROUP</th><th>r_mag</th><th>i_mag</th><th>z_mag</th><th>ObsDate</th><th>Exptime</th><th>SN</th><th>Slit</th><th>Reference</th><th>DATE-OBS</th><th>sig_zem</th><th>flag_zem</th><th>EPOCH</th><th>STYPE</th><th>IGM_ID</th><th>SPEC_FILE</th><th>NPIX</th><th>WV_MIN</th><th>WV_MAX</th><th>R</th><th>GROUP_ID</th><th>TELESCOPE</th><th>INSTR</th><th>DISPERSER</th></tr></thead>\n",
       "<thead><tr><th>str10</th><th>float64</th><th>float64</th><th>int64</th><th>int64</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>str7</th><th>int64</th><th>int64</th><th>float64</th><th>str13</th><th>str10</th><th>float64</th><th>str4</th><th>float64</th><th>str3</th><th>int64</th><th>str19</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>int64</th><th>str6</th><th>str3</th><th>str3</th></tr></thead>\n",
       "<tr><td>J0007+0041</td><td>1.9549</td><td>0.6888</td><td>4217</td><td>55478</td><td>800</td><td>4.830</td><td>21.36</td><td>19.95</td><td>19.83</td><td>8/11/13</td><td>1800</td><td>10</td><td>0.75</td><td>Rafelski:2014</td><td>2013-08-11</td><td>0.0</td><td>SDSS</td><td>2000.0</td><td>QSO</td><td>2253</td><td>J0007+0041a_xF.fits</td><td>27932</td><td>3993.5</td><td>10132.0</td><td>6060.0</td><td>0</td><td>KeckII</td><td>ESI</td><td>ECH</td></tr>\n",
       "<tr><td>J0040-0915</td><td>10.2277</td><td>-9.2575</td><td>655</td><td>52162</td><td>482</td><td>5.000</td><td>20.48</td><td>19.18</td><td>19.1</td><td>1/20/10</td><td>2280</td><td>17</td><td>0.5</td><td>Rafelski:2012</td><td>2010-01-20</td><td>0.0</td><td>SDSS</td><td>2000.0</td><td>QSO</td><td>303533</td><td>J0040-0915a_xF.fits</td><td>27929</td><td>3993.1</td><td>10129.9</td><td>9090.0</td><td>1</td><td>KeckII</td><td>ESI</td><td>ECH</td></tr>\n",
       "<tr><td>J0054-0109</td><td>13.5893</td><td>-1.1560</td><td>4224</td><td>55481</td><td>248</td><td>5.090</td><td>21.42</td><td>20.0</td><td>19.57</td><td>4/1/13</td><td>3600</td><td>15</td><td>0.75</td><td>Rafelski:2014</td><td>2013-04-01</td><td>0.0</td><td>SDSS</td><td>2000.0</td><td>QSO</td><td>14711</td><td>J0054-0109a_xF.fits</td><td>27931</td><td>3992.9</td><td>10129.9</td><td>6060.0</td><td>2</td><td>KeckII</td><td>ESI</td><td>ECH</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=3>\n",
       "   Name    RA_GROUP DEC_GROUP Plate  MJD  ... GROUP_ID TELESCOPE INSTR DISPERSER\n",
       "  str10    float64   float64  int64 int64 ...  int64      str6    str3    str3  \n",
       "---------- -------- --------- ----- ----- ... -------- --------- ----- ---------\n",
       "J0007+0041   1.9549    0.6888  4217 55478 ...        0    KeckII   ESI       ECH\n",
       "J0040-0915  10.2277   -9.2575   655 52162 ...        1    KeckII   ESI       ECH\n",
       "J0054-0109  13.5893   -1.1560  4224 55481 ...        2    KeckII   ESI       ECH"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta[0:3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Query Source Catalog around Position"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Search around J0040-0915"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your search yielded 1 match[es] within radius=1 arcsec\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "&lt;Table length=1&gt;\n",
       "<table id=\"table4696778576\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>flag_group</th><th>sig_zem</th><th>flag_zem</th><th>RA</th><th>DEC</th><th>STYPE</th><th>zem</th><th>IGM_ID</th></tr></thead>\n",
       "<thead><tr><th>int64</th><th>float64</th><th>str10</th><th>float64</th><th>float64</th><th>str3</th><th>float64</th><th>int64</th></tr></thead>\n",
       "<tr><td>662</td><td>0.000</td><td>SDSS-HW</td><td>10.2277</td><td>-9.2574</td><td>QSO</td><td>4.976</td><td>303533</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=1>\n",
       "flag_group sig_zem flag_zem    RA      DEC    STYPE   zem   IGM_ID\n",
       "  int64    float64  str10   float64  float64   str3 float64 int64 \n",
       "---------- ------- -------- -------- -------- ----- ------- ------\n",
       "       662   0.000  SDSS-HW  10.2277  -9.2574   QSO   4.976 303533"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grab catalog info and ID around input coordinate -- All matching within tolerance are returned\n",
    "matches, sub_cat, ids0040 = igmsp.qcat.query_position(('00:40:54.7','-09:15:27'), 1.*u.arcsec)\n",
    "sub_cat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Grab meta data -- By default this returns the first meta data entry in the table (if more than one spectrum exists)\n",
    "meta0040 = igmsp['ESI_DLA'].cut_meta(ids0040)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "&lt;Table length=1&gt;\n",
       "<table id=\"table4633585552\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>Name</th><th>RA_GROUP</th><th>DEC_GROUP</th><th>Plate</th><th>MJD</th><th>FiberID</th><th>zem_GROUP</th><th>r_mag</th><th>i_mag</th><th>z_mag</th><th>ObsDate</th><th>Exptime</th><th>SN</th><th>Slit</th><th>Reference</th><th>DATE-OBS</th><th>sig_zem</th><th>flag_zem</th><th>EPOCH</th><th>STYPE</th><th>IGM_ID</th><th>SPEC_FILE</th><th>NPIX</th><th>WV_MIN</th><th>WV_MAX</th><th>R</th><th>GROUP_ID</th><th>TELESCOPE</th><th>INSTR</th><th>DISPERSER</th></tr></thead>\n",
       "<thead><tr><th>str10</th><th>float64</th><th>float64</th><th>int64</th><th>int64</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>str7</th><th>int64</th><th>int64</th><th>float64</th><th>str13</th><th>str10</th><th>float64</th><th>str4</th><th>float64</th><th>str3</th><th>int64</th><th>str19</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>int64</th><th>str6</th><th>str3</th><th>str3</th></tr></thead>\n",
       "<tr><td>J0040-0915</td><td>10.2277</td><td>-9.2575</td><td>655</td><td>52162</td><td>482</td><td>5.000</td><td>20.48</td><td>19.18</td><td>19.1</td><td>1/20/10</td><td>2280</td><td>17</td><td>0.5</td><td>Rafelski:2012</td><td>2010-01-20</td><td>0.0</td><td>SDSS</td><td>2000.0</td><td>QSO</td><td>303533</td><td>J0040-0915a_xF.fits</td><td>27929</td><td>3993.1</td><td>10129.9</td><td>9090.0</td><td>1</td><td>KeckII</td><td>ESI</td><td>ECH</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=1>\n",
       "   Name    RA_GROUP DEC_GROUP Plate  MJD  ... GROUP_ID TELESCOPE INSTR DISPERSER\n",
       "  str10    float64   float64  int64 int64 ...  int64      str6    str3    str3  \n",
       "---------- -------- --------- ----- ----- ... -------- --------- ----- ---------\n",
       "J0040-0915  10.2277   -9.2575   655 52162 ...        1    KeckII   ESI       ECH"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta0040"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Staged 1 spectra totalling 0.0008 Gb\n",
      "Loaded spectra\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/xavier/local/Python/linetools/linetools/spectra/xspectrum1d.py:248: UserWarning: No unit given to wavelength, assuming Angstroms.\n",
      "  warnings.warn(\"No unit given to wavelength, assuming Angstroms.\")\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<XSpectrum1D: file=none, nspec=1, select=0, wvmin=3993.13 Angstrom, wvmax=10129.9 Angstrom>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grab spectra\n",
    "#row = igmsp['ESI_DLA'].ids_to_firstrow(ids0812)\n",
    "J0040spec = igmsp['ESI_DLA'].spec_from_meta(meta0040)\n",
    "J0040spec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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FsqxmAPcAmAdgE4BplmVtEUL8VAjxk08nux/AF4QQ6wG8B+C/LMuK1gCSiGLR2NgY+zpl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\n2uT/AJXaKAfDWJZeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117f4ae90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "J0040spec.plot(inline=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Search around J233446.40-090812.3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your search yielded 1 match[es] within radius=1 arcsec\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "&lt;Table length=1&gt;\n",
       "<table id=\"table4735346960\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>flag_group</th><th>sig_zem</th><th>flag_zem</th><th>RA</th><th>DEC</th><th>STYPE</th><th>zem</th><th>IGM_ID</th></tr></thead>\n",
       "<thead><tr><th>int64</th><th>float64</th><th>str10</th><th>float64</th><th>float64</th><th>str3</th><th>float64</th><th>int64</th></tr></thead>\n",
       "<tr><td>8206</td><td>0.000</td><td>SDSS-HW</td><td>353.6933</td><td>-9.1367</td><td>QSO</td><td>3.327</td><td>381591</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=1>\n",
       "flag_group sig_zem flag_zem    RA      DEC    STYPE   zem   IGM_ID\n",
       "  int64    float64  str10   float64  float64   str3 float64 int64 \n",
       "---------- ------- -------- -------- -------- ----- ------- ------\n",
       "      8206   0.000  SDSS-HW 353.6933  -9.1367   QSO   3.327 381591"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matches, sub_cat, ids2334 = igmsp.qcat.query_position('J233446.40-090812.3', 1.*u.arcsec)\n",
    "sub_cat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Grab all meta from the HD-LLS_DR1 group\n",
    "meta2334 = igmsp['HD-LLS_DR1'].cut_meta(ids2334, first=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "&lt;Table length=3&gt;\n",
       "<table id=\"table4735494224\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>QSO</th><th>INSTR</th><th>SPEC_FILE</th></tr></thead>\n",
       "<thead><tr><th>str19</th><th>str5</th><th>str37</th></tr></thead>\n",
       "<tr><td>SDSSJ2334-0908</td><td>ESI</td><td>HD-LLS_J233446.40-090812.3_ESI.fits</td></tr>\n",
       "<tr><td>SDSSJ2334-0908</td><td>HIRES</td><td>HD-LLS_J233446.40-090812.3_HIRES.fits</td></tr>\n",
       "<tr><td>SDSSJ2334-0908</td><td>MagE</td><td>HD-LLS_J233446.40-090812.3_MAGE.fits</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=3>\n",
       "     QSO       INSTR               SPEC_FILE              \n",
       "    str19       str5                 str37                \n",
       "-------------- ----- -------------------------------------\n",
       "SDSSJ2334-0908   ESI   HD-LLS_J233446.40-090812.3_ESI.fits\n",
       "SDSSJ2334-0908 HIRES HD-LLS_J233446.40-090812.3_HIRES.fits\n",
       "SDSSJ2334-0908  MagE  HD-LLS_J233446.40-090812.3_MAGE.fits"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta2334[['QSO', 'INSTR', 'SPEC_FILE']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Staged 3 spectra totalling 0.01008 Gb\n",
      "Loaded spectra\n"
     ]
    }
   ],
   "source": [
    "# Grab all spectra from that group\n",
    "J2334spec = igmsp['HD-LLS_DR1'].spec_from_meta(meta2334)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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zzz+P5JAcQoh6FEpfTtxR1VIbFKvgA+vXrw80aRBCSG0r+uFSVkR5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0iyofP0z0/z8u8v25aLS4tdBn2GPssh/kKhW9IfmvkQby15C4BtJdu46KOLHMrpcZWrtCoHJWH+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\n6SAIgiAIgiBoIf8Dv83ErqOqwHsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a41e190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the first one (ESI)\n",
    "J2334spec.plot(inline=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your search yielded 1 match[es] within radius=0.5 arcsec\n",
      "Staged 3 spectra totalling 0.01008 Gb\n",
      "Loaded spectra\n",
      "Staged 2 spectra totalling 0.0064 Gb\n",
      "Loaded spectra\n",
      "Staged 1 spectra totalling 0.00368 Gb\n",
      "Loaded spectra\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/xavier/local/Python/linetools/linetools/spectra/xspectrum1d.py:222: RuntimeWarning: invalid value encountered in greater\n",
      "  gdsigval = np.where(self.data['sig'][kk].data > 0.)[0]\n",
      "/Users/xavier/local/Python/linetools/linetools/spectra/xspectrum1d.py:223: RuntimeWarning: invalid value encountered in less_equal\n",
      "  badsigval = self.data['sig'][kk].data <= 0.\n",
      "/Users/xavier/local/Python/linetools/linetools/spectra/xspectrum1d.py:434: RuntimeWarning: invalid value encountered in greater\n",
      "  gdpx = self.sig > 0.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Staged 1 spectra totalling 8e-05 Gb\n",
      "Loaded spectra\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "&lt;Table masked=True length=7&gt;\n",
       "<table id=\"table4735217040\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>GROUP</th><th>TELESCOPE</th><th>INSTR</th></tr></thead>\n",
       "<thead><tr><th>str10</th><th>str13</th><th>str8</th></tr></thead>\n",
       "<tr><td>SDSS_DR7</td><td>SDSS 2.5-M</td><td>SDSS</td></tr>\n",
       "<tr><td>KODIAQ_DR1</td><td>Keck-I</td><td>HIRES</td></tr>\n",
       "<tr><td>KODIAQ_DR1</td><td>Keck-I</td><td>HIRES</td></tr>\n",
       "<tr><td>MUSoDLA</td><td>VLT</td><td>UVES</td></tr>\n",
       "<tr><td>HD-LLS_DR1</td><td>Keck-II</td><td>ESI</td></tr>\n",
       "<tr><td>HD-LLS_DR1</td><td>Keck-I</td><td>HIRES</td></tr>\n",
       "<tr><td>HD-LLS_DR1</td><td>Magellan/Clay</td><td>MagE</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table masked=True length=7>\n",
       "  GROUP      TELESCOPE   INSTR\n",
       "  str10        str13      str8\n",
       "---------- ------------- -----\n",
       "  SDSS_DR7    SDSS 2.5-M  SDSS\n",
       "KODIAQ_DR1        Keck-I HIRES\n",
       "KODIAQ_DR1        Keck-I HIRES\n",
       "   MUSoDLA           VLT  UVES\n",
       "HD-LLS_DR1       Keck-II   ESI\n",
       "HD-LLS_DR1        Keck-I HIRES\n",
       "HD-LLS_DR1 Magellan/Clay  MagE"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Another approach -- Query the full database and then pare down\n",
    "J2334spec, meta = igmsp.spectra_from_coord('J233446.40-090812.3')\n",
    "meta[['GROUP','TELESCOPE','INSTR']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<XSpectrum1D: file=none, nspec=7, select=4, wvmin=3995.02 Angstrom, wvmax=10199.8 Angstrom>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "J2334spec.select = 4\n",
    "J2334spec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your search yielded 1 match[es] within radius=0.5 arcsec\n",
      "Staged 3 spectra totalling 0.01008 Gb\n",
      "Loaded spectra\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<XSpectrum1D: file=none, nspec=3, select=0, wvmin=3995.02 Angstrom, wvmax=10199.8 Angstrom>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Another approach -- Query the database on only the HD-LLS group (ESI is the first one)\n",
    "J2334spec, meta = igmsp.spectra_from_coord('J233446.40-090812.3', groups=['HD-LLS_DR1'])\n",
    "J2334spec"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simple catalog search"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### LLS from SDSS_DR7 vs. IGMspec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SDSS-DR7: Loading LLS file /Users/xavier/local/Python/pyigm/pyigm/data/LLS/SDSS/lls_dr7_stat_LLS.fits.gz\n",
      "SDSS-DR7: Loading QSOs file /Users/xavier/local/Python/pyigm/pyigm/data/LLS/SDSS/lls_dr7_qsos_sn2050.fits.gz\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<IGMSurvey: nsys=1935, type=LLS, ref=SDSS-DR7, nsightlines=3759>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sdss_dr7_all = LLSSurvey.load_SDSS_DR7(sample='all')\n",
    "sdss_dr7_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<SkyCoord (ICRS): (ra, dec) in deg\n",
       "    [( 339.61320833,   1.39090556e+01), ( 160.36441667,   2.65569444e+00),\n",
       "     ( 167.247     ,   3.19108333e+00), ...,\n",
       "     ( 230.02470833,   2.36647222e+01), ( 124.528625  ,   7.32227778e+00),\n",
       "     ( 150.86345833,   2.29700556e+01)]>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grab the coord\n",
    "lls_coord = sdss_dr7_all.coord\n",
    "lls_coord"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your search yielded 1931 matches from 1935 input coordinates\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([278984, 333498, 337018, ..., 238162,  52737,  96919])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Match -- Sources that don't match are given a -1 ID\n",
    "matches, sub_cat, lls_ids = igmsp.qcat.query_coords(lls_coord)\n",
    "lls_ids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "&lt;Table length=5&gt;\n",
       "<table id=\"table4898480016\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>flag_group</th><th>sig_zem</th><th>flag_zem</th><th>RA</th><th>DEC</th><th>STYPE</th><th>zem</th><th>IGM_ID</th></tr></thead>\n",
       "<thead><tr><th>int64</th><th>float64</th><th>str10</th><th>float64</th><th>float64</th><th>str3</th><th>float64</th><th>int64</th></tr></thead>\n",
       "<tr><td>3</td><td>0.00202852169918</td><td>BOSS_PCA</td><td>339.613239092</td><td>13.9090722756</td><td>QSO</td><td>3.55330134648</td><td>278984</td></tr>\n",
       "<tr><td>2</td><td>0.0</td><td>SDSS-HW</td><td>160.364469</td><td>2.655675</td><td>QSO</td><td>3.5929210186</td><td>333498</td></tr>\n",
       "<tr><td>2</td><td>0.0</td><td>SDSS-HW</td><td>167.247083</td><td>3.191095</td><td>QSO</td><td>3.46423006058</td><td>337018</td></tr>\n",
       "<tr><td>3</td><td>0.00167885941355</td><td>BOSS_PCA</td><td>139.502742418</td><td>51.3620978521</td><td>QSO</td><td>3.4610699635</td><td>77086</td></tr>\n",
       "<tr><td>3</td><td>0.00255769601315</td><td>BOSS_PCA</td><td>135.119471001</td><td>48.3169094303</td><td>QSO</td><td>3.62596088017</td><td>70133</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=5>\n",
       "flag_group     sig_zem       flag_zem ... STYPE      zem      IGM_ID\n",
       "  int64        float64        str10   ...  str3    float64    int64 \n",
       "---------- ---------------- --------- ... ----- ------------- ------\n",
       "         3 0.00202852169918 BOSS_PCA  ...   QSO 3.55330134648 278984\n",
       "         2              0.0   SDSS-HW ...   QSO  3.5929210186 333498\n",
       "         2              0.0   SDSS-HW ...   QSO 3.46423006058 337018\n",
       "         3 0.00167885941355 BOSS_PCA  ...   QSO  3.4610699635  77086\n",
       "         3 0.00255769601315 BOSS_PCA  ...   QSO 3.62596088017  70133"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show cat\n",
    "sub_cat[0:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Meta data and spectra from Coordinates"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### All meta data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your search yielded 1931 matches from 1935 input coordinates\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/xavier/local/Python/specdb/specdb/utils.py:59: UserWarning: Renaming column in table XQ-100 from SNR_1700 to XQ-100_SNR_1700\n",
      "  warnings.warn(\"Renaming column in table {:s} from {:s} to {:s}\".format(labels[ss], key, new_name))\n",
      "/Users/xavier/local/Python/specdb/specdb/utils.py:59: UserWarning: Renaming column in table XQ-100 from SNR_3000 to XQ-100_SNR_3000\n",
      "  warnings.warn(\"Renaming column in table {:s} from {:s} to {:s}\".format(labels[ss], key, new_name))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Final query yielded 1931 matches.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "masked_BaseColumn(data = ['BOSS_DR12' 'ESI_DLA' 'GGG' 'HD-LLS_DR1' 'HDLA100' 'KODIAQ_DR1' 'MUSoDLA'\n",
       " -- 'SDSS_DR7' 'XQ-100'],\n",
       "                  mask = [False False False False False False False  True False False],\n",
       "            fill_value = N/A)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grab meta \n",
    "matches, all_meta = igmsp.meta_from_coords(lls_coord)\n",
    "np.unique(all_meta['GROUP'].data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Restrict to GGG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your search yielded 102 matches from 1935 input coordinates\n",
      "Final query yielded 102 matches.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "masked_BaseColumn(data = ['GGG' --],\n",
       "                  mask = [False  True],\n",
       "            fill_value = N/A)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matches, all_meta = igmsp.meta_from_coords(lls_coord, groups=['GGG'])\n",
    "np.unique(all_meta['GROUP'].data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Staged 102 spectra totalling 0.0026112 Gb\n",
      "Loaded spectra\n"
     ]
    }
   ],
   "source": [
    "LLSspec = igmsp.spectra_from_meta(all_meta[matches])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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iMpnm5ma88MILmJmZkR0KES3Q0NCAlJQUJCYmyg4lKCbdxmJSTURERBSGyspK3RNWt9ut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\nB1BxGXl+QCc4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115067d10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show the first spectrum\n",
    "LLSspec.plot(inline=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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6gnbXMU0CLcvyZUmSuiRJukKW5WYAtwFo9Hfs/ASaKJ5MT08v2RGJ4sNvfvMb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\n5vuaeritzTvUNM2ufMh+/fo1WxYaGmrzdrq7ZcuWsXTp0q5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Ua5rmtBNv3HDDDcydO9f8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JhS6qBS6qRS6m9d8Voudy0cy5VKqXSl1N76f9c1WF+OpRNSSvkppdbUH5cjSqnRck52Ty0cSzkn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\nEEIIIZrg/9ueSHNlk+lRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1181551d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show the 10th spectrum\n",
    "LLSspec.select=9\n",
    "LLSspec.plot(inline=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Time Evolution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ids_time, _ = igmsp.qcat.find_ids_in_groups(['GGG', 'SDSS_DR7'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IGM_ID    RA      DEC     zem   flag_group sig_zem  flag_zem STYPE\n",
      "------ -------- -------- ------ ---------- ------- --------- -----\n",
      "  3244   2.8135  14.7672  4.986       8211   0.003 BOSS_PCA    QSO\n",
      " 17656  16.5802   0.8065  4.432         27   0.001 BOSS_PCA    QSO\n",
      " 32720  32.6799  -0.3051  4.745        531  -1.000 BOSS_PCA    QSO\n",
      " 36731  37.9069  -7.4818  5.412        531  -1.000 BOSS_PCA    QSO\n",
      " 41217 112.7630  44.9971  4.986         19   0.003 BOSS_PCA    QSO\n",
      " 46146 119.7816  18.0152  4.784        531   0.006 BOSS_PCA    QSO\n",
      " 46495 120.0959  30.8504  4.667         19   0.002 BOSS_PCA    QSO\n",
      " 48706 121.8130  13.4681  4.860         19   0.006 BOSS_PCA    QSO\n",
      " 52737 124.5287   7.3223  4.603         19   0.004 BOSS_PCA    QSO\n",
      " 54333 125.5515  16.0769  4.472         19   0.003 BOSS_PCA    QSO\n",
      "   ...      ...      ...    ...        ...     ...       ...   ...\n",
      "359994 215.4374  35.2210  4.563         18   0.000   SDSS-HW   QSO\n",
      "363389 222.7831   2.9377  4.482         18   0.000   SDSS-HW   QSO\n",
      "370456 238.1793  25.8748  4.667         18   0.000   SDSS-HW   QSO\n",
      "372708 243.6047  46.6747  5.320        530   0.000   SDSS-HW   QSO\n",
      "372745 243.6960  20.9842  5.091        530   0.000   SDSS-HW   QSO\n",
      "372894 244.0921   5.0244  4.858         18   0.000   SDSS-HW   QSO\n",
      "375951 254.7588  27.1598  5.307        530   0.000   SDSS-HW   QSO\n",
      "377279 264.4370  58.4749  4.916        530   0.000   SDSS-HW   QSO\n",
      "377944 314.3506  -0.5052  4.683         18   0.000   SDSS-HW   QSO\n",
      "378847 326.8571  -8.6430  4.583         18   0.000   SDSS-HW   QSO\n",
      "379904 337.1881  -7.9654  5.142        530   0.000   SDSS-HW   QSO\n",
      "Length = 163 rows\n",
      "----------\n",
      "Group key:\n",
      "    BOSS_DR12: 1\n",
      "    HSTQSO: 4096\n",
      "    SDSS_DR7: 2\n",
      "    KODIAQ_DR1: 4\n",
      "    MUSoDLA: 8192\n",
      "    HD-LLS_DR1: 8\n",
      "    2QZ: 256\n",
      "    ESI_DLA: 512\n",
      "    XQ-100: 64\n",
      "    UVES_Dall: 16384\n",
      "    GGG: 16\n",
      "    UVpSM4: 32768\n",
      "    COS-Halos: 1024\n",
      "    HST_z2: 32\n",
      "    COS-Dwarfs: 2048\n",
      "    HDLA100: 128\n"
     ]
    }
   ],
   "source": [
    "igmsp.qcat.show_cat(ids_time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Staged 163 spectra totalling 0.0041728 Gb\n",
      "Loaded spectra\n",
      "Staged 163 spectra totalling 0.01304 Gb\n",
      "Loaded spectra\n"
     ]
    }
   ],
   "source": [
    "# Loop to grab spectra and meta data from each group\n",
    "spec_time, meta_time = [], []\n",
    "for group in ['GGG', 'SDSS_DR7']:\n",
    "    rows = igmsp[group].ids_to_firstrow(ids_time)\n",
    "    spec, meta = igmsp[group].grab_specmeta(rows)\n",
    "    # Append\n",
    "    spec_time.append(spec)\n",
    "    meta_time.append(meta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<XSpectrum1D: file=none, nspec=163, select=0, wvmin=4911.03 Angstrom, wvmax=7831.05 Angstrom>,\n",
       " <XSpectrum1D: file=none, nspec=163, select=0, wvmin=3810.66 Angstrom, wvmax=9215.1 Angstrom>]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spec_time"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot both"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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+O9DT422dqv1fLGbNXHd1deGUU07JvzEqGwbXRD4wiKFqwtcjkX8qW21vxVfI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\nXR12lHdKPumCajDOwDUFmMsnFTnXM2fOBNOX5tsA58ys6hrCY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dmqMBFci7SQ4eGYY1+W\n6ZP9PzKi49RTNxU08L2aOIP2v/97AsT044D8zrjRQuh78vvHC675/7Lnmr135Mgaj1oI1ZnKlb9d\n9Qfhta2qWMXGawckuD755OLbqTMxDKZacfjhe5DLORPF5HJG4SMXt9mBztatYVdgR4D3uOOQL0e9\nIzUI993HOiERhPNpR/U5qG7UyIj7nXUWW1qWhltvfT/OPrsef/jDSnzyk0M45BAnLQTg9+dd75Lr\nZpftSyZD2LOH1XdsTPcUPKLyXJOcHgueZP+vXQt0dcn70bmTSWdQajmNJQ0aCFzH41E0NPARWY+C\nkUDP8Q9/kNe7ca4ZxcFZKZLgIhsvuHYDUYaRw+iok+aimkpuaBhGg02VUtdNLF/+z/z/zmOK6Vx7\nfQbMcy0GThHnWkdzc21+n/2b9le9izT48yIzJ3rwVCoo9L27fZOkTCLGAkx0hkaVNTQ4p+pL8Usp\nDsA0DfT07HM4DybCJorGQfdyIvWuefvmfp8CAec9ITBH79P8+bMd+6hs5swp+fOZErhWPSeSAATY\nN1Nfnyibp26ngrHkKiIA5dtGR/n/bp5rOr+XGBeyZJJTEcWBUU1NNB+boOfPWf67x51KrDEW5QQr\n4Lpib5UdkOC6lNEHZxjMizlzZj1isSmORot1jux/EVzbP9iOjpBrJ0sf/n330W9140EN2VFHcQ+B\nvQx7I0kNxOzZ8naxLvPmAaecstMRtEfAzw6uLUvD4GAOdXVJXHUVoGkaaEpXpSjxwAOsZ2Ge69IN\nYy7nBNfr17OlHbDdcANb0v40I9HeDvz97y22kvnBy5erz033i8B1by8PjIrF2HLOHAuf+ITzWO7Z\nldfbwXBf31B+vRu4lgm63sG1BUN4AG7g2rK0QnAQWS6nBtdu3iECV8WS6aj55Oo62Y2SPNjLzOWM\ngkSX1+Aw93M4r43eTy+e66YmPupQdcT0fbqBZV1nwbJEJ+CZ6Ca3V6+qcp/u1lxemkyGXYRl+ZBI\njKGx0TuX1qtNlCQatW3l6mMXs/r6MVRXm5hrTx0pmIoWQiCR2gSvyicErsPhtDST1dU1zbGv6Llm\nGQzLv4/2dzSTcdd/7uuTz01G35Pfz8F1OZ5rigMZGZFpIbW1Man/oXMuWLDAc9m8f2T3prmZBxpU\nwHXF3ip7R4JrniyE/Q6Hg9C0kKPT/etfT4Zl0WhYPF5u2UdGnNnzyOwqDW6gSMwuBchgyK0jaW0F\n9u0D/u3fqAz5XLxsZyNTXx9VbjNNHZ///HwMDISg65ACdop1aMmkjkCg9Jy06LkuRQuh/Wh5//3M\ny63yLIuNZVOT+tziPm1tDKT7fKxHJAmyG2+08NGPOo91A1F2QPnSS0zE3K6nTIB++3aZMOkVXPt8\npTWoAWDfvjrccovsjnbjXKs6WJLHY9udx5BU1/5J8TGgefTRvfj857fZ6kTn2T9PpwqEcDDkhXPN\nByiqDjoQYBx+9++ZgetgkN145slWB7lOpKnq4883Tm5a1LNmsaVp6tA0X4F/P5E2Ueoe9E21tEwc\nOopEUhge1qXBq/O8qveJXVO54Jr2r63VCp7roSEdg4NO9Q3iXANAKpUdF+3HflljYz5Xz78YVK6i\nhYic63I818uXp/DRj76E0VF54GwfaHMQ771wfgwrV5R7rYDrir1V9o4E16kUax2o0WEdIRAKOT/E\ndJrRHmYXmfEbHPR5bmjcvIV2cC3yxnkiGL5uKC8u0tDAO1SV55rOaZoa6uqGC+tCIV9+G2uAOjvr\nsWrVCLJZA2NjsnuWA6osMhk16BkZ8cPnK30TRM61HfDZOw7aTtd95pnA2WeryxUbUS8dUGcncMQR\nXN2lGKAU17uB4W9+E7j4YqCzk+6dJnmu164FLrhAThlfrDz7dvusQKlrFINLs1m159rNC0brVfdi\nwYKDXM9fjloIcXunTElK2zh/cv/AWCrlFPQtB1yL1+6WHOdDHyp+vOy5NhGPZ970gMb82qLH3HIL\n8Pe/p5DL6UgkgpMyAJgocE3t7A9+EEFnZ/F9vVpdnZPrbDfVwJHAHKeqeDsfgfCaGs65dlMAYUmh\n2POzLB3z5s3ydhLBqF6f/vQAqqpG88lV1N/AqacChxySKpybl7F/nmtNA9rbO/Oea5lzTXkbAKCq\nKlXY36vxATkrV+xX3NqkCriu2GTbOwZcf+ELznWi1mYqBUQiavUFAPjUp9zLHhjwDq7dwRtlwGK/\nRcUKWic2GjFFf8A1YOX1hmHlg6m4R0qc1rYsoL+/CosWjSmVMqiRNc0s+vvVUeYAcMEFm7F6tevm\nfBnFPddywCTwzDPA8DBKmnicO2XCuY6SQlDn4fZ83DrO3buZG/2XvwT+8z/Zu0AWDvOD5s0D5s93\n3txyaCGilQJAFKRFZao816J3Vj4nyW45KQahUFCql2jlcK4peE6W/rIEqbX9A2OqgYOb1rfKvCbV\nKXY881yz5xAKAanU5NNCxvNcQiGgocFCPB7BE08sfFuDa3p24TCbfZoIa2xsKLlPIuH0KhOYo3vu\n9f2ntre6mnGuX3+d3g2n+XxcWnO8Mx8cfFrw+5nXxs1zfeSRwC9+wWQoZZUrPpAYD7iORqMYHOxF\nMikPnHUdGBioKzh+otESOroKsyfxOfJI7l2veK4r9lbZAQuuQ6G0lNzhqquc3meRy5xKqQOdMpnS\nLcjOnSFPQVKA03N9773AOecAw8NMrYIUCUSQyzmpxct281w3NNRjxoxZSKX445bBNUvTHApZyGZ9\nOOSQl3DccU7VCE2zYBVplebNGylkhnQzFeean0deZ5rAu98N/PznxcvMHy2VozJ1chiZImTvvMgD\n7Aau//SnPwPgHc6113L5CHvw6jHHOLVVxyvFVwroBYN86sONFjJnzkzHOpEWEos5s6PQfdhftRDT\n1BxJVTTNRG0tk7KcCHBdaxM+Lyf9uKygUH5PrGkWMhl/AUiEwwayWd+EcoXV53Wu8/Jc/H4glWIu\n1cmo40RzrsuhJHgts5idf34M73vf/0nr7HEBXmlRPI7HwvbtjZg/H5I2/fnnc7micDiD/n7qE8b3\n/oh0QQLXxd5p3hbyfSiHgc9XmuKosubmZjQ0OJVeDAMYG4tg3rwEACASSeO446Ck5pWqL7UZus6P\nrySLqdhbZQcsuDYMA0uXir+djZ8IqLq71R5Sv597NZYtc8rwAUBvb6BokhnR7A3SqacCf/wj/x3I\nzxlefrkzy2Kp5AFunOtcLobf/34e4nGnlBhPdmEiGtUKiXNOPJFLZ5EMHQA89pg76CkGvMlUaiFk\nKnAt1lVls2Zty5+br1N5d+69FzjpJOd6PsBSe67pmtw51wZMUz0ws9d7+fIw6upk/WavSWS8qoWo\ntmezQL0iRs2toy4W0EjXtL8616SpLHrQNM0qZKzcX1qIrpsFXXcyu8a4V6M6ljtVnctxbmsgwMB2\nfX1NiSP3z8ZDO9E0/kyA8Q0mStlE00LK8ZqWMi+60bNmmXjPe+RpOfsA0Ov7TyYmrRF5wpddxoNG\notEUenv5h7o/z0bXLU/gmlPk+D5VVew4v3/8gy96B7JZTo+jNuaQQ9hAOBTK4pFHgNNOK6dcthRB\n+29/y5ZuA+qK57pik20HLLi2G5P/ktfZvZUqxkMoxFHzP/8JHHOMOmuErgNHHcX+nzOn17Ue9LF/\n9KO78MtfrnPdb+pUrm9NHWYy6bo7AHfP9datzn3t4DqX0zF1ag1aWmYgm+WqDQAQDuv584exadNU\n1/N7CUKx61zb6RziM6L/VemlyajBJg/Fs8/yjI+inXqqeyY9thwf5/r66/8Dn/ykOo1zOOxs2EuB\nZGdad7aMRsPK9W4mZp3M5YBVq4CBAXkfVSdpWXrRezER4Jo413ZpOl0XB4gTTwsZL7jen6l4rg/M\nwHVjo/eU0eOx8YJrv59zX8d7n4rZRNNCJhJcNzeX3icWi+HQQw+V1o3Xc00mcv/Ftl1sp6LRNHp7\n+cXuz6yCYXDPtWW5J4NQea6jUe653l9wHQymCsG1VFYkYuXPM6o8tphRPcUBOeUyqHCuK/ZW2QEL\nrjVNvjSV51rkXANq8GX/CC1L7T6+7z5gjOUUQH29eweaTBLHdysWLuQpzxcudJceog4zkXDdBYC7\n57pakelVTI/OgKmBurog0mnmvRbBopiulxtfV1fH/l/upoEn2Be+AFx4IftfRVdICbkm6HlVFcnN\nMGUKk7UicL1yJdBiV+krYnbPtTM9OAU8qo83TQPPP59Vgutg0AlSTFO+YK+0kGhU5j+XAnzz5u0p\n/M9TnMv7qABKOu0ft+fae0AjU85w0kKsQrn767lWg7nxoYLxaCrbB23kuX670kLE4NtyQaIXezuD\nay/tRTAYxMm2BAp272+5VBWxXRVpIWJbUlWVQmcn5wjuj7731q2bCio8K1eucN1P5bkmWgjLDTC+\n85NneerUGGbnOZr0nYTDFq644mq0tZUPSexSfKKl0+r3rgKuKzbZNoFN1NvLWAAf/12KFgKoG0f7\nR5hMqhGurgNHHw28+CKKqmaYJms5E4lRLFlyRGF9TU2t2yEFizsFECRz81wTneTooy089ZRWqC/A\n1UJMU0ckAjz7bAjAIgSDfOpODa75zf3qVy1kMr8BcFbJa9i4Ua7XCy/w3z/5CZMWJKPrnUz5MrvS\nip3eQfrgxToUTUsV1FdEUwHuUp5rd7UQeX17O7Bpk3udQqEMRkbYwMqNq68CKJlMoIQUn7reQHkB\njeydk69L0yxQIg/LKjFNU8JU097V1ePzGo+XFiIe6/O9OTj7pCAAACAASURBVOBa9cxKPRfyXJNN\nBriOREp4BjzaRNNCbr+9dNIx0Q47jCn/APL7sG4dz/br1Robuddgy5ZdAGYAUHmuRVpIeecQzTTj\n8PvZjaPAZMD5fnDHC98Qicg86fEYgd/GxkDBc83BNaPgLRW5nJ7LZUuVXGIloLFib5UdsJ5ru6lo\nIfRh2zMAimZft3TpYmX5hgH84hel60FTr62tzWhyE2S2GYHjUuDaTS2EJyFwBv2JtBDRQ9zUxOVI\nSkmXBQJAdXX5nedZZ7GARTIRWAPcU69SMCGjoLvxNpbcU8qWbtnPinVqgYCl5FyryiL++hVXsN/O\n7Gnq+tn3u/pq4JOfdJZ/ySWMtuT35wp0GjdwbS8zECAZLFkFQbSJ8FyzxBgaBgdHpA6cea7ZjR4a\nUuSgL8PUtJDxlbV/4JrVIxCw3rKARi8mArqJpoU88sh2/PCH7ipD5dhEe64/9jEg4p53x2FPPgnc\neeeAY/2KFeWDTr+fHzAwkMCRR7J7JLY14XAaQ0P84ewPuPb5sggGA/ly3AuiDIfpNB/gnnTSCjQ1\nsY5kwQK1+lYpo9mLSCQnrGNLL/KYbkZtUjI55NhWAdcVe6vsgAXX9o9H192BC2lKi9rSH/6wupxI\nRB256KVhPeII4L3vTRfq49WoXqVoIW6ea7teNOAE16apSeA6FOIVjMVklBiNyihlvA3+668X3377\n7WxZDFzrOrvo/Y0Knz+f6TdHIsUvRgVeBgZ80tQyaRurAHdDA/Oe1uTj2uzvzRVXAI8+6jyffb+P\nfhS49VZn+aee2g0AheRHl1wCfOUr6muxl9nQQMlGJpdzHQ778wM6Xk86L3HF91cPemI51+OhhRDN\niMC1iUwm8LakhWgam+GIxViw7XgHIW523HGzcPLJx0xIWZOhFlKOhULAIYdk0NKyp/TOJUz8XnI5\nP6JRP9askelbPl8C8ThH//sT0OjzZQrguqUIF2bqVCKh8w6xra2xwP2ORIBf/Wo852cXPHNmvbCO\nLcPh8V/X8uWs4xocdA7Ip02b7lgHVMB1xSbf3jHg2h4sJxqBVxHEzZmj3tcNSN5yS+k6PfcccO65\nyXx95AoW69CofqVk7krRQkwTGM3Hi6g81yIYFL059sC8aFT+7TUz2Xjt29/m/7/yinofe3p3r0b3\nIRhkN8+rpKJou3eHCsouANdLJ8/1vffybfSMRG65aPX1wLHHOutXLijTNIY+rrsO+H//T72Pvcym\nJgK2k8u5bmlpgmkakuwfnZe+wS996UveCnMxFbg2DFZ5u0RfKRuP55pPrcv38u3ouaZjIhEWNDLR\n4HoibTLUQsq1WMzCBRf8Frn9vFHi95JM+hEIWNJMHgCsWCGnZN+f98fvz0LTKCGY+4vC6ZITyw8i\nz3VLC+9cSMWosTGCk08+GTNmzCi73Dlz2McVCDi9MLquHoVVwHXFJtsOWHANOD+gH/xAvR916OJU\nl1tiADdwXSxbm+p4O7gu5p0lcP397/NU517OQSZmRCTvtKx+wTjXIo1hgRBfaQecsZh8Aruaxwkn\nlK7jRJmmAYYx/lTZdvAq3oOWFg7mywEt5IWh+0azIAC/727g2q1+bnQVN6urm1JyHztA+fOfgV/9\nypp0zrWus+ObmlqxdOkisYTCd1BTs3+SdYsXz1fUj1U+7FU3M2/jAdc1NeyjIOm9xx6rkcqaLBvv\nczEMA5bFwFQ5euBvtk1GQON4bfp0tVfUq4me60TCLyk0kTU3y+/q/oBrn89dIUR1DlWA4P4Yea5F\nJ1FDXuk2HNZx6KGHIjQO74amAd/5zlWoqhpzbHObTauA64pNth3Q4Npun/scCwSzG3l2jz+er6NO\nyi0IcrxGoNo+vZcp0u6JwPvaa4Gnn1bv59ZgiJ5rXg95aVkcXJ95JqctAE5wbQfTVVXyid//fnU9\nJsv2R4mgGLieMoUPMuz3q5gRf5A8+iJILeW5Fm3pUu7FnlIaK0uWzZauqB2gLFoEfOELGiIRdhPK\n9VyfeCLwne94q59hAJYVQDjMb3g4HCw6yCzHGhud4LzcAQrZeAAx8VYbGuR6TGZwLjB+z3UgECg8\n98kIaJwoezuB67b9TBEpttdu4DoalR/G/tFCsoUkZcX3Y8tYrLxBaCkzDBMXXvif0qww50vvX9ln\nnHEGTj/9dGldIMDatIpV7K2wfxlwrWnaiZqmvaZp2huapn291P5ujW9fn3MdAdv2duCGG+h86uPH\nE42vOt5evhfPNcCm0d71LvV+bp2iClwX80qeeaa83g6u7dJ4jY2yNql4P9ychJGIe3SmB0W/gjHP\n9f7PY1OdxfdGvI6MydBwPF0iqhQcXKsGYrSumLwg2fr1wH/9F/vfixavaJlMaZTlNlAUZRrt5gau\nR1IjeLbvIVx+BXvJBpOD+N2632E0rdat9fnYAEOsQyDgmzBwrfr+b74ZePnl8stqa2sd9/lpOXUq\nuzC/f3Kb3PFyrgFngPfb0d4OtBBf/uRedP2LmWWxdxIAenrikhwimR1wt7aWOcoW7KKLzvZEiaJv\nctmyiUWmIyMjaGhwBoMCpYP1S9miRYuweLEsNjA0BFx/vXr/iue6YpNtb4Pxf2nTmITA9QCOBbAb\nwAuapt1nWdZrbsfktCR2DO4BMAsAsOrmVZgem47qlp9jZIQ1UOlcGh2DHRhKTAMQgWEw7/YFF/CO\nxrRM7I33IWAEkMwmoWlTIMrQlbK/bf4bGiINWN6yHH7Dj0iEkKqMhDMZy1GuaZnI5DJIp5lHKZlN\nIuRznzazNxipbApBX7AArg8+mG/TdSBrZrF7ZDeAGZJ+KS0ty8JoehShEBPKnjUL2L6d87G//GVA\n0+7A6tWvQtM0GPkDRc5wX586Gv/ww1/As88ehVSKdVCnnw7cdRfbVuasfVngeig5hO7RbhzcyG4G\nAQsx++XW/q0A5kj3c333BgCH41cv/ArA14qewwu4vvRS4BOf4OtHUiPImlnUhmodfMiZM2VqiWh9\niT5s7N0I0zLx3vb3wjRpal8mwvfGe1EXqsM9r92D42YfB6DeFVwvW7YEd90F/GPH/+FXf/0edE3H\n1v6tsGDhwgU/APBxPPDG/VjV/m50DnVi0ZRF+MJDX8DtG29HW6wN75/1fjzR8QS6R7tx/xv3Y07d\nHEQDURw942icMOeE/LvCBpSGwd5DwAddLz7IzJk5dI10oS3Whpe6X8LBDQejKsBHKS/ueRFBIwhg\nkRJ8NTWxP8uyMJwaRk2Ie5VNy8RQcgh1YRZwyjJzsudQW5ufqtFMdA51YXpNcTpAOpeGCQ2Av1CP\ne+7xY+VK7tG2LIs9k/z5AoZ74ELWzBa+fZ9evMlWgevbb2dAo2e0B6ZlorVaPVig4NJinuucmYOm\nadC1t8YvYw9opAyqxTjEE20NDQ34+te/Pi4Kg2iWBZx3HvDNbyaQTIbg9/MGZ8/IHjRVOdWkVJKf\no+lRPLrtUSxvWY6ZtTOV59q1C5g2zedpZoPP5k3sPb344ouxb98+h1LJ9deXl5HRqxV7PJbFHACW\nZaEuXIe+RB/SuTQsWGiNtqJvrA9743vRE+9B51Anwv4wZtXOQk2oBlX+qkI/PJgcxI7BHZhVx3BG\nLBiDX/cjY2aQyWUQ9AWhQcOu4V2oCdUg5AsVvuXR9Ci6hruwonUFQr4QclYOQ8khWLAwlByCoRuY\nWj3V0TZYloWsmYXfeIuiet/mlsqmkM6lUR1UJPgAwwAj6RG0xZwzT79b9zu8svcVtMXa8ETHExhM\nDuIj8z+CTC6DnUM7MatuFrb0b8HftvwN5yw5p2g9/iXANYAjAGy2LKsDADRN+x8ApwJwB9eQ592/\nverb2DO6B6Erf4ab79oF3PNHxH4Qw7TYNHTuuBHA+zDjZzPQGGkE8CL+++U/ATgHOwd3YeGvD0U6\nl0Yml0Fs/S8AfEYq++Q/n4yNvRvzHf0mvNb3Chaf9wQ23vJ5XPv0tRgYG0D3aDemxaYh0L8MwO+x\nt74Hn7n/M+hN9OLlnpex79UbAByPhmsb0BZrw974XkT8Eewe2Y3Q1p8A+DzqflSHD8z+AGbVzsKG\n3g3YNbwLASOAadXTMJAcQPcz7wXwYxz0y4OQMTPYNbwLS6Yswfb+ewHMgHH6efjduqMAfAY/f+5n\nuHTv95EzcwD6AS2H7z31XQDfwaPb/45H/nov7n/jfuxL7MPBnfcAOAkpaxRAFPtSuwC0ofbUq6F3\n6ejd3IdVJ6zCFU9dgZpQDd7oewPfvu9dGO2vwtWrtwO4yvF8mqbWI2fyzmTBwhxwVz5hiy8FwNsc\nfl9iAKEqP0ZHgdPvOB1BI4gpVVOwsXcjdgzuQMQfQcbMYHpsOmLBGJ7c+SQSmQTOWXIOdg7vRCJ7\nO4AoLnzwywB+hvPvOx83v3QzAAvxdAJPd74E4N14sXsdgMPxPxv/B6XAdVIbBDAFv3j+pwC+gn+/\n/9+xN7EXy5qXYTh9MYB6PN/9JG7ZeAseuvchtNe246Xul+DTfWiuasZX3vUVvNH3BkZSI/DpPlx9\n31F4LTOGa/98P3pGexALxjCnbg664914suNJLJqyCLtHduOghoNwZMuRAN6D3JQ38P0nH0ZjpBFd\nw1249ulr0V7bjp1DO1EfrgfQiSd2PoY7b7oCsWAM2we248tHfhk1oRp05RYAqMMFD34WPznlCmTM\nDBY0LoBP9+EDN5wN4OO49JGvYvvQVsSCMWTNLA6feji6v9qNrf1bsaZzDT6++OOYUTMDVz9xNaZV\nT8NIegRfevhL6I33skGqPoixlIEfrvkR/vLXbwGwkEUSD732FIDjcO9r92LH4A48ufNJ9Iz24KKV\nF+HXL/waz+x6Bm2xNgwlh5DKpTCtehqOmn4UFk1ZhGuevAaGZgDoxUBqL77x6E8xmBzE2j1rMZQc\nwpLmJfje+76HCx68AKs7VuPDB30YW/q34NSDT8XTu57Gs7uexaGth2J+43zctvE2AIzD+dPnfwDg\nG+gb68OMn8/A70/5PdK5NEK+EGLBGJ7pfAZr96zFp5d9Go9sewQPvP4AgonZAF7EzpGtmPufJ+Ao\n/xcBfAnXPHU1/qtvA3rjvdjQswFZM4tEJoFDWg5BX6IPYX8YH5z7QdQEa7C5fzO2DWzDlv4tGEoN\nIWfmcPJBJyMWjGHt7rX46IKPAvi+9O5d8X+XozfRgx2DO9BU1YSsmcWXVn4JT217BJ++/qfw6T7U\nhmoBbCkc893VV+OLVccjk2ODhv7MMB54/R94vut5TK2eijteuQMbejZgResKrN29FtFAFF9799ew\nY3AH/tn9T+we2Y1fnPgLZMwMVnesRudwJ5oiTfjjhj/i4IaDcem7L8V729+LNZ1roGs64uk4/rHj\nH1jQtABtsTZsH9gOQzdww9obMLtuNhY0LsCc+jnoGOxAMptEY6QRNaEavL7vdUwPLQTwH9gy+BpG\nM0O48G8XYkPPBixtXooVrSvQOdyJ98x8D0K+EDb3bUbfWB+mVE3BzJqZmFEzA+t71iPsC+Onz/4U\nASOAHx77Qxwx7QhUB6tx6SOX4rFtj2HVzFUYSTHllGNmHoO1u9fitPmn4eylZyOVTcHQDYRCIazZ\nuQZ3bLoDR0w7Ake2HYknOp5AbagWtaFajGXGsLR5KbYObMWNL96IDT0bUB2sRkO4AZ9Y/AkAn8C8\ngzPImTrmzRvCmjWHYPnyIWwf2I5vPf4t3LbxNryv/X34QMsHAHyj8Kxe3rcOLz7/DGqCNdib2Ivr\nnr4O8Uwcy1uWY0PPBjRGGnHJuy7BwqaF+OOGP+KkeSehe7Qb757+bkzD0gJwfmLHE7hh3Q0AbsOW\n/i24Y9OL+M2636Al2oLLj7kcwHzsG+vFM51b8Yf1f8CipkX47KGfRW+8F92j3ZjXMA9/feOv6Ev0\nYfXO1fjHjn9gbv1cLGhcgKHUEOY3zIdP92Fq9VQYugHLsnDSvJMwY8YMJDIJ/Hbdb+HX/RhJj+DM\nT5yJ+nrGFXmy40kMp4bh0324/oXrceV7rsSu4V2485U7sS+xD81VzYgFY3h8++O49N2XYnrNdOwY\n3IFzlp6DfYl9+PmzP8dQcghXve8qTK2eigffeBC3brgVh089HK/ufRV9Y30A7kU8Hcf0n7H3/fCp\nh+OF3S+gyl+FZDaJWXWzsGNwB5qrmtEYacTM2plIZBLYPrAdI+kRxNNxJLOMxxL0BTGvfh629G9B\nwAhgODVcAL4+3YdUNgULVqGPzppZhHwhjGXGEPQFMa16Gtb3rEfWzEKDhtpQLXRNRzQQRc7KYc8I\nU6UxdAOGZsDQDWTNLDK5DAzdQHWgGtXB6sIya2Zx5LQjUR+ux7TYNDy18yn0jfUhlU3lnRhsIKpB\nK/q/aZmwYMG0TIymR9GX6EM0EEU0EEVVoAo+3Qdd06FrOgzNKPyv+jM0A63VrZhZMxMza2diStUU\nbBvYhpd7XkY8E8e06mnIWTkEjADSuTTSuXThHsczcfSP9SOdSxccC6kcA890H3JWDulcGkPJIQyn\nhjGYHISmaagJ1qAqUIVYMAZDM5DLOw+ovYn4I8iZOVQHqxEwAsiaWQwmB/GVI7+CzuFOHD/neDRG\nGvHUzqcQ9oUxt34uOoY60BJtwZ1n3on/3vDfRXGAZv0LzI9omnY6gBMsy/ps/vc5AI6wLOsiYR9L\nzBrY2so8rU8/7fTo/uGvr+O8Dx+MZIZ5dt/zvhxW/8PA5r4t6Ev04cjpK3HWBZ348w3TMbUtja5O\n7m36xBc34/ZfM9k2TTdx1ePXYPGUxVg0ZRGS2SQOaVmKect6sepDu3DTNSsK536j7w3sje/Fug1x\nXPzh4/HBr9+KU85IoLmqGVOqpuBL587C2n9MRefQLuwc2olYMIbeeC+WTFmCXf170bfPwGELmvHQ\n5oewc2gnVrSuwMyamdiX2Ifh1DAaI4147P5mfOMLM/DqXjbmaK9tx4t7XsRtdybxyqsmTj7/ZWzo\n3YBbPnIzvviD53Hp51vQXNWMkD8I3ZfFN+/5Fb734YvxgW//AseekMQpB5+C1upWnPK5F/Hkre9H\n1dSdiO+egWlHPIeu51fiiw9eiBe6XkBvvBfRYBQfmf8RDCWHsHjKYmzayzKcRIwofnD89xzPNHLC\nD5B4/CIgUwXtlM9AG50G8/HvsPt60F9hveEts0Ns4XNI7G1Edu8c3PrSH5HIJNA/1o9DWg7B3Pq5\n2DawrXAvE5kEVrSugAYNt7x0C5Y2L8W/vedEjA3U4cerf4Hf36jjnH8bxllLzsLs+lkItW7F0qvP\nwvOfeQ6nndeBe26ZiWvuvQPf+sjHitapdvGzGNx4JM748hr85WdH4cKHLsLCpoXY2r8Vt10/Hz1P\nfRBHXHcm5jfMx3nLzkP3aDeOm30cakO1uO/1+/DQ5ocwPTYdqVwKGjQ8v/t5BI0gPnXIp1Afrkcy\nm8T/bf8/hHwhfO2or6E6WI19iX24Y9MdeHz747jn5Yfx7vbD0FbbipAvhIZwAz4y/yO477X7cNnR\nl+HRbY/i4rMWYeVn/ojTVi3AzqGdWNayDD955idIZBLY8sj7MHjntdjQsQNLZrRL13bjmrvwmaNP\nx1g6haAvgNH0KLYNbMMhLd4yaHQM/v/27jw+iiIN+PjvycGRAOFKECLhEBcVRUUEvAAFUUQ8kVVR\nAXXdFVDXYz3QdyGvryeu1yK7632xHnjghYKrCIqCsLIqlxxCOAS5b3PX+0d1J53OTMhkZjIz4fl+\nPvPJdHV1d3XXdObpmurqPNbuWkufo7pAcgFD7nuOO4ecwwltupHcfC3dBy5l3uSz6P70iZx06Elk\npWfRIKUB8zbMo2tWV8b0GMO0FdO48MgLKS4tZtX2VUxfNZ3/bvwvfzn5Lxze/HCapzWj4RWX86cr\nDqFJ/Sb079ifopIiJi2YxHvL3uOh/g9xSZdL+HTVpzSp34QXv3+RQYcPYvixw5m6bGpZ6/4fu18H\nnady7j2vMO9fw+nUoR53jC1g8o+TMRgKigvYW7iXI1oeQXbjbOZtmMdZh53FkKOGMPmb/3DrgGE0\n6/0aLz6dzsPvTmPOXf9k6CMTObd/BgbDsGOGMStvFh2adij7p71y+0oWblzItt+2cUijQzgt5zRy\nMuxFf4kp4caPb6RD0w50bdWVx+Y+xqyRX1Q4vnf9ZyzZjbPJSs9i7vq5tExryZQlUyg1pUy/YjpZ\n6Vn88OsPHNe6vL4u+9d4vtjzNJsefwezvhct+r5G1xHPkJmeSUFxAUOOGkLP7J4s+GUBvdv1ZvXO\n1dz/5f10bdWVHtk92JW/iwlfTyAnI4eOzTpyTNYxbNy7kRHHjWDx5sXkzspl6dalHH/I8SRJEqnJ\nqXTN6kpRaRE/bfuJZElmX9E+rut2HUWlRWzet5nVO1bTrGGzspbp9XvW0yi1Eeu3b2faiClk/60t\nzRo25cquVzL6xNHMXDOT1TtWkyRJLNi4gPTUdDo07WA/IztWkbcrj1/2/EKv7F6s272O+/vdT35x\nPhe/eTFFJUXsKtjFqO6juKHnDcxZOweDYfWO1SzYuIDLj76cJ+Y9wY+bf6SwpBBByMnIYV/RPq7v\nfj3fbfyOT3/+lD7t+pCSlMK+on0UlhSyYtsK2jdtz9AuQ+nfsT97C/eybOsypi6bysxVX1Jg9tO4\nfiNSVp3F1mdeJ6XPQzQa+CA397qZ0SeOZtL8ScxcM5Nvlq6meNEFFH/0GJ3v+T3HdC1FEPKL87nz\n1Ds5suWRZa2vizYvYuhbQ8lunE2/Dv2YttL+L/l2w7c0TG3I9udfJH/xmRw58SiuOvYq7jrtTtr1\nnkXHq3O5ttu1fLPuG95Y/AZbbt9MkwvuoXW/t7j06EuZlTeLOWvn0LRBU5rUb0LerjwGdhpIduNs\nTs05lT7t+/DesvcoNaW0atSK5duWs7tgNyu324u4tNQ0Pln5CW0z2rJq+ypO73A6rRu1JlmSeWPx\nGxgM6anpGAxJkkRRSRFXdr2S1xe/Tk5GDlcccwU5GTks37acdbvX0a11N95e+jYbdm+goKSArfu3\nsq9wH1cffzVJksTEbyeSlpqGiHBzr5vZsm8LWelZpNdL56ZeN5LUZBM/rd5Lemo6zy18jmuOv4bW\njVuTX5zPw3MeZvDvBnN86xD6J0aAMabSLzClppSS0hJKTEnZ+yRJIi01jYKSAvYU7GFP4Z6yv0mS\nxNRlU8kvzmfl9pWc3v50OrfsXParlzEG48RJgd67ZRDsr1MiQsOUhmSmZ7K/aD97C/eyt3BvhTId\n6FVUUsTGvRvJ25lH3q48ft33Kx2bdeTozKNpVK8Rv+z5hZSkFApLCklOSqZhSkPS69lfB9JT02ne\nsLn9Bb60GGMM9VPqUy+5HqlJ9gImOSmZ1KRUMhpkkFE/gxZpLaiXXI/1u9eTX5zPrvxdlJgSUpNS\nMZiy/6ertq+ifkr9sgsi92LQNj5Vj4hggowDXMeC63Fly6SldadFi66sW5fDuHHjK6xv3bpDef75\na8vSX3hhJGvXtiubzs0dzymnfMmcOaeRkbGTP//58bJlv/iiL7Nm9S2b9q87N3c8bduuZfDg9/nw\nw8GMHPlChfnbtrVg4sQbGDJkCl26lD9ib/LkYaxceXil9YXihx+O4d13Lz7gOnJzx3Phhe/QtesP\nZdPJycXceusjPPzwnQwb9iqdOpW3bH311al89ll/MjM3s2VLFkcdtZglS7pUu6y5uZXznXHGZ8ye\n3Zvi4lTGj89l9uxT+fxz25+kS5dFLF4c+GE9fu3br2bnzqbs3NmsRsfu0UdvYc+eJgHrsU2bDfzh\nD8+wZMlR7N7dmOnTB3LDDU8yd25P5s/vGXSdRxyxlGXLjuTss6fxySfnhFWnNWEwZS0QNfHdwuP4\n4P0LuOuu+6hXr+KdtoWF9XjggbFh79Mjj9xGaWkSI0a8QFbWFnJzx9Os2XYuu+w15s/vzjnnfFzj\ndbtfGIGOQSjHJjd3PAPO+ohevb4N+Xju35/GhAm306PHNwwcOJ2tW1vy1FNjuPrq52jbdl1I6zpQ\nGb1qck6OGfMkLVps5+2pg1n0/Ql07/4tgwZNi1gZDYZSSkmu4ePnvUpLhQceGMvdd98XgZKVf1Yg\n8OfFm6+QQpJJppRSdrCDpjSlvvMLW6jnXAklJJHEHvawbXdDXn7sPk7p8yl9+n5BKhV/7s8nn+U/\nnsC771zCqFETyczcGmStwRkMu9nN+69dw8/Lj+av48YhCHl5ObRsuZX09IoPUcjNHc/ZAz+kZ48F\nZcsXUUQ96tVofwG2sY188skgg0aU3xVfSCFFFFFIIemkk4oNgpKqeUuYwbCVraSTThq2D+I+9lFA\nAamk0piK3QNyc8fTqNFubr310ZDKr9SaNWtYs2ZN2fSsWbOCBtf2iiXOX0Av4BPP9J3AHb48xrZR\n21eHDsbccosxmZmmkpUrbR5Xz54Vp8GYsWPt37ZtKy6bm2sqbMcPjDnzzMrprhUrbJ4pUyqmv/mm\nMcOHB1+uOl55JXCZ/MCYyZMrTjdsaMzu3fb9jBkV8z/2mE0/9lj7d+jQ6m3Hu37/68EHjWnQwL6f\nMGGCGTFiSdm8c875tez9RRdtC7i8+zr5ZGOGDDHm4ourXx6v7OzA+7JihTGbNpVPP/mkzbdihZ1+\n443gZbr8cvv3qadCO07x4sUXbbn37688b//+yOxT69bGNGpkzNKldhqMOfzw8NcbSWDM44/XbNkd\nO+zyt95qp93zfu7cyJXPmMqfvZos536m8/ONGTXKmIULI1tGVbXNm2093Hdf8DxvvlmxrmrqvPOq\n/x0xcWJ424pX2dlVf0crVV02hA4ctybKaCHzgU4i0k5E6gGXAu/7M82cCddfb9+nptoHaGzaVHll\nhx3mGwkiwDB4oY5z7Vq2zI4XHIy7vH89l1xSvQfRVKW6Q2jdey8MHFg53X9Do8u9wTDY/JqwD6+x\n72+77TaOOaZ8YO2cnPI74lu0aORftIKiIpgyBd56hBj4/QAAFllJREFUq2blCHaDT6dOgUfocPMP\nraJniHsDZ7QfGBItbrkDHZtIPTAoJcXevBhomMJ4UtP75PwPdHJvwIvHfXTVr2+fvHfccbEuycHF\nHSKyqsFH3Hnhnn+hfJ6jPWxkrCxfDh98EOtSqLouIU4fY29jHwPMABYDrxtjlvrz9e0LkybZ9ykp\n9h9Jdf5BRDK47twZWrYMPj9YcB0J1e3hc8890KxZxbRjjw3+hEf3rms3PVLBtXesZ+8Xi3d0kfT0\nqr9NIjV024EE+lJasybwY4Ddi5FOnSrPSwTlT2gLPC8SPcnc4Dqeg81w+M+lSJ47kVaLA22oAKoT\nXEfqse8aXNvvl5qOea9UdSXKaCEYYz4BOh8wIza4CeXkKQ7wgD/3n5A/0PT+w2kd+vC3UQ2uw3n4\nQ8uWwQMAN7i+6Sb7CPedO2u+Hf82e/Sw771fGt6h+A70ZRJucB1OYNGuXeDPmXu8jj46McdTrSq4\njpQtWypuC2Bv4CGxE5I/qI7n4FrFltsaXdXY3e68cFuuhwyB3burl7euBtdK1YY6efrk5cFHH1U/\nf6CWa/cfiz+4c9PnzYNFi0IvWzy0XAfibeX3l80NFgcNgieeqFmA4G/NLymBlSvhnXfstPc4ex9i\nEegL58wzy9/HMriGwPXoXhyEOQxuzNRGcN29e+Vt7Aj8fImYilS3kHgOrrXlOraC/UrqFaluIcOG\nwWefhVYupVTo6mRwnZkZWqvyTTfBjTdWTHMfNx2s5bpFC/u0xFD5n4YWSY0Dj5leLUlJwR/x7QaJ\n4fS5dp9E5iopsY9YD/STqLcFM9C23MevZ2ba7izhCPULxJ8/0K8Fe+wQuRUeIZ9IqupzHSkvv1x5\nW+E+pS3SRo60F5Q14Z7f7v7Fc59rDaLiQ1XBdaS6hYRCPxdK1VzCdAuJpjFjKk7/8osNrkePrhxc\nh3tTXzRbri++2LYG14T3H6n/n3wkgmtXvXqB+9p6vzS8QVaglmv30eErVwZ++mM0BPuiCfSrR+fO\nkJMT3fJEU7CLrEhyL0zdz8Ho0bA19BHGour552u+rL9bWTy3XKv4UFW3vlgE19otRKma0+A6AG+r\nd7BuIVX1j6tKNIPrpCQ7EkpNVBVIucF1OGV3vzjS0mxw3bRpxflu0PH++3DooeUt3YGOs9tynZZW\n83pwDR4MCxfWfHm3v/5xx8H//mff9+xpuyYlqtr4UnUvitxuPX//e/S3GQv+/rTxGFxrC2V8qCq4\nLn8kee2UBTS4ViocGlwfQLBuIfHYch0O7xfsgbqF1KSfs9sanpZmb4j0B9euwYNh/fry6UDHuUED\nOOOMyHzRhBrU+Y+N2z984ULYuBHatAk/4I+12gi2RGy3i6ysA+dNZO7FuQbX6kCqCq5jcWN0vH1H\nKZVI9PQ5gERquQ6HtzzBuoW4edw+xaEwxv70f/vtdrpjx+B5vQFIoOMsYm/KiYegwDvSTLifjXhR\nW5/N559P3Js+q8v9LMTb+a7ijwbXStUdCR4GRF+w4LoutVwnJ5eP3hCIP7iuyZBpxsDEifb9NdeU\nd+3wzveWx+Ue/wULbF/sPn2gW7fQtx+uYIF8oOC6NvtFRkM8XLTUFf7PQjwOzaj1HR/iKbiePt0+\nN0IpVTMaXB9AsG4h4bZcx9MXWqBxvr0aNKh4MVCTUR28Xw7+wNrPuy33OJ9wQuX1xIO62HIdT5/N\nRBft4DotDfbvD305kfg7lw528RRcDxhQu9tTqq5J8DAgumbMqHyDYLgBVCxuTAlXw4YVy/vSS3ZE\nlVB0rtbjfyxvcBdvgao/8PSOFhLsCZeJRoPryIl2cL1vn/0f9fPPNV+H1nfsjR5tH/ASTGZm7ZVF\nKRW+BA8Dosv7sBJXpLqFtGpVs+Wj7YMPyp+a6EpLg4suKp9u186+qqs6AUWwlu14D1TrYreQeOqy\nlOi8n4UPP4QOHWJXFi9vy7UG17HndpkL5sgjw39gllKq9ujXaIgi1XLdpk1kyhNp555b+cIhJQVe\nfz262/UG1/Xrw7//Xb7teHbiieUPwtFuIcrPG1wPGhSdY1uT1nCt48ST6BftSh1MNLgOUbhPWGzQ\nwN7Q5z4IRVlduwZ+tG+8BKrBgpHzz4f8fPteu4Uov9r4hSrcriZa30opFVkJHgbUvnB/Sk1Ohmef\njVx56oouXaCgoHL6KadAr161X55gqqr3utItRIOtyNi+HZo1i3UpAqtqXHullFLh0ZbrEFV1R7eK\nvPbt4ZtvYl2K6tFuIcqrtgJrHfVDKaXiiwbXIdIvMhVMuDe7xgsNrus+bblWSqno0eA6RMEe263q\nNjcAqSoQSU6GmTMTf7SNRC//wUZvaFRKqfiiX6Mhquqx3Spy+vWD66+PdSlCVxeeaqaBV2LRGxqV\nUiq+aHAdouOPh1mzYl2Kui8rCyZNinUpDk7Nm8e6BCratFuIUkpFjwbXIRKB3r1jXQqloqdLF9i1\nK9alUNGkAbVSSkWPBtdKVUN1+lzXJU2axLoEqrq0W4hSSsUXDa6VUiqBhXtDowbXSikVWRpcK6WU\nUkopFSEaXCsVAm3lU3WBtlwrpVT0aHCtlFIJTMe5Vkqp+KLBtVLVoMGIild6Q6NSSsUXDa6VUuog\no91ClFIqejS4VioEGoioeBNuy7VSSqnI0uBaKaUSmA7Fp5RS8UWDa6WqQQMQFe8uvrj6eTW4Vkqp\n6NHgWqkQaCCi4o3bcv3WW7Eth1JKKUuDa6WUOshoy7VSSkWPBtdKKZXA9IZGpZSKLxpcV+GLL76I\ndRFUBESiHrV1Lz7oOVlZot7QqHVZN2g91h1al5GjwXUV9INWN0SyHjXIji09JyNDg2sVKVqPdYfW\nZeRocK2UUkoppVSEaHCtlFIHmSTPf379NUYppSJLTB25G0ZE6saOKKWUUkqpuGeMCdg8UWeCa6WU\nUkoppWJNu4UopZRSSikVIRpcK6WUUkopFSEaXCullFJKKRUhB11wLSJrROR7EVkoIt86ac1EZIaI\n/CQi00Ukw5P/LhFZISJLRWSAJ72biPwgIstF5PFY7MvBLEg9jhOR9SLynfM625Nf6zFOiUiGiExx\n6maxiPTUczIxBalLPS8TiIj8zvm/+p3zd5eI3KjnZOKpoi71nIw2Y8xB9QJ+Bpr50h4Cbnfe3wE8\n6Lw/ClgIpADtgZWU3wQ6DzjReT8NOCvW+3YwvYLU4zjglgB5j9R6jN8X8CIw0nmfAmToOZmYryB1\nqedlgr6wDXC/AG31nEzsl68u9ZyM8uuga7kGhMot9ucDLznvXwIucN6fB7xujCk2xqwBVgA9ROQQ\noLExZr6T72XPMqp2BKpHN93vfLQe45KINAFOM8a8AODU0S70nEw4VdQl6HmZqPoDq4wx69BzMtF5\n6xL0nIyqgzG4NsCnIjJfRK510loZY34FMMZsArKc9GxgnWfZDU5aNrDek77eSVO1x1uPf/CkjxGR\n/4nIs56fLbUe41cHYKuIvOD8PPm0iKSh52QiClaXoOdlovo98G/nvZ6Tie33wGueaT0no+hgDK5P\nMcZ0A84BRovIadhAzUsH/45//no8FZgEdDTGHAdsAv4WywKqakkBugFPOfW5D7gTPScTkb8u92Pr\nUs/LBCQiqdhW6SlOkp6TCSpAXeo5GWUHXXBtjNno/N0CTAV6AL+KSCsA5+ePzU72Ddj+Sa5DnbRg\n6aqW+OrxXaCHMWaLcTqEAc9g6xa0HuPZemCdMWaBM/02NkDTczLx+OvyLeB4PS8T1kDgv8aYrc60\nnpOJy63LLWC/N/WcjK6DKrgWkTQRaeS8TwcGAD8C7wMjnGzDgfec9+8Dl4pIPRHpAHQCvnV+Etsl\nIj1ERICrPMuoKAtSj4ucf/iui4BFznutxzjl/My8TkR+5yT1Axaj52TCCVKXS/S8TFiXUbEbgZ6T\niatCXeo5GX0psS5ALWsFvCsiBrvvk40xM0RkAfCmiFwN5AFDAYwxS0TkTWAJUASM8lztjcbeGd8A\nmGaM+aR2d+WgFqweXxaR44BSYA3wR9B6TAA3ApOdny5/BkYCyeg5mYgC1eXf9bxMLE5f+f7AdZ7k\nh9BzMuEEqcuH9ZyMLik/bkoppZRSSqlwHFTdQpRSSimllIomDa6VUkoppZSKEA2ulVJKKaWUihAN\nrpVSSimllIoQDa6VUkoppZSKEA2ulVJKKaWUihANrpVSMSUil4pIqfMIe296lpO+McAyo515R9Ve\nSSuV4VqnDG1iVQZPWS4UkZsCpPdzytg7jHU3EpFNInJekPkznW1cX9NtRJJY48LZ52gRkVtF5LtY\nl0MpFV0aXCulYm2289cfDPUG9gNZnqf+uU4DthpjlkS7cFUwziseXARUCq4d4ZbxdmCDMeZ9/wwR\nycHWk8E+tS0eJAHjgL4xLkcgk4BsERkW64IopaJHg2ulVEwZY34BVhE4uP4syLzTgK+iX7qDm4jU\nxz6Z7R9Bsgx3/k4DegS4CIoFCSmzSL1oFcTPGPMb8CpwW21tUylV+zS4VkrFg9nASSLi/Z/UG/gS\nmIMnuBaRTkBrYJYnrYeIvCUi60Rkv4gsE5F7neDQzfNPEdkgIhWCLxGpLyK7RGSCJy1TRP7l5C8Q\nkSXOY58PSET+JCLfi8hvIrJZRJ4WkQzP/GSnG8U4EfmziKwWkd0i8rmIHOFbV5KIPCAiG0Vkn4jM\nEJEjneXHOnleAYYB7Zz0UhFZ7itWIxGZJCJbnTK9JCKNq7E7Q4DGwJQg868EfgBuxQa1w/0ZRORV\nZx+7iciXzn78JCLXBsg7QEQWOsfuJxEZ4Sy/wnf87hORVU6+Lc56e4lIMlCIbUkf7xyLEs+xcsty\nsoh8LSL7gfuceakicr+IrHHqfLWI5IpIimfbhznrvFZEHnS6y+x2jmd9EfmdiEwXkT0isiJIC/Xr\nwLEi0r0ax18plYA0uFZKxYPZQCOgG4ATjB6NDa6/xLZUu/pgg6fZnrR2wELgeuBs4AngWuAZT55X\ngEOAfr5tX+Bs+yXPtr8GzgTuAQZiW2afEZE/VrUTIvII8CTwMTAY26XiXOCjANmHO9sYA1wNdATe\n9QX/92NbOZ8DzsO25L9Hxa4efwWmA5uAnkAvbFBcViynTAXApcC9wFDg0ar2xXEWsMgYsyvAvp4C\ndAJeMsYsB+YDVwRYhwGaYo//i85+fAc87azDXd8xwAfADuAS7LG/DVv33v29B3vM/gYMAEYCnwPN\njDElwCnOPj/rHIuTgBc8ZWkOTHbKczbwhjNvMvYi4TlgEPbzMNZZj9/dQEvsxcU44HLgn8Db2Pq5\nAFgMvBigNf+/wD5n20qpusgYoy996UtfMX0B7YFS4BZnejCwF0gBDnfm5TjzXsIGYFLF+pKxwWsR\n0MSTvgobDHrzfgD8zzOdiw1+2vvyPQ9sdLcLXAOUAG2c6Y5AMXCHb7nTnPKf4ylbKbAESPLk+72z\nvu7OdHOnHI/51vcXZ/mxnrRXgJ8DHId+Tt6nfen/APZUo16WAy8Emfc0tpU4y5ke5ZT/DF++V5z0\nkz1p9YHtwERP2pvO8a3nScvGXhQs96R9DLx+gLovBf4aYJ5blrN96cc6y9zlSx/n5D/CmT7Myfex\nL997Tr5LPGnNnbS7ApTja+DDWJ93+tKXvqLz0pZrpVTMGWPWAOsp7/5xGjDPGFNsjFkBbPbNm2OM\nKWvNFJEMEZngdBUowAbVL2B/nevk2dQrwIUi0tBZLhPbOvuyJ89Z2OBnndMFIdnpbjADyAI6B9mN\nAdgW03/7lvsGe2Omv9/4DGNMqWf6R2f5HGf6WKAB8JZvOf90dUzzTf8IpIlI8wMs1wbY4k90uttc\ngt2HzU7ya9jjXqlrCLDbGPO1O2GMKQBWUr6vYFvdPzTGFHrybQDm+tY1HxjsdPs5WURSD7APfgXG\nmE98ae5NmZN96a9i66SPL92//DLn7wxP2bcDW4G2AcqwBXtslVJ1kAbXSql4MRtwh+Nz+1u7vgJ6\ni0g2tpV7dsVFeRnbkvwo0B/oDtzozGvgyfcqtgvIRc70ZTgBsSdPFnAGNlD0vtw8LYKUP8tZV55v\nuUKgYYDltvumC3zlbe383ezL92uQ7QdjqrGtYOp78npdCGQAU50LmwxnO//BXryk+fLvCLCOAt/2\nW1N5X6Hy/v5f53U+9jOyVUSeFZFmB9iXYOsD28oMtuXca5Nvvsu/P4UApnL3mUICH+PfsJ8JpVQd\nlHLgLEopVStmAZeJSC9s3+u7PfO+xPanrtTf2gnkBmF/fn/Kk36CfwPGmJUiMhfbN3gy9kbAz4wx\nmzzZtgFrgZsJPPLET0HKv80p2xnAngDztwZZLpiNzvazgBWe9FYhricc24FAQetV2H39F7Z7iMv9\nNWEIFX8NqI6N2H31q7C/xphi4CHgIRHJwnYhegx7IXBlNbYTaGhC9+LjEGCdJ/0Q3/xIaU7onwel\nVILQ4FopFS9mY4PJO53pbzzzvsIGUEOxXSzme+Y1wP4KV+xb34gg23kZeFJE+gInUvkmvE+A64A8\n56f96pqBDdxyjDGvhLBcMN9jWzgvwY6Y4hoaIG8B0WkJXYbtS15GRA7B3oj5NjAxwDJvYruGhBpc\nzwXOFZH6TrcRRORQ7E2JeYEWcLqkPCf2ATdHO2klIlJKaMdjFvazdykwwZN+BbZOZwVaKAwdorBO\npVSc0OBaKRUXjDE/ichmbEvkAmPMfs/shdgbHAcDnxs7KoS73HYRWQDc7iy/AztSSGaQTb0BPI7t\nf70XeNc3/xFsy+tXIvIY9qa+xsAR2JvyLiIAY8wKEfkb8A+xT46cjQ16c7DB6CRjzJxAywZZ33YR\neRK4TUT2ATOx3V2uxgZ83v7aS4CRIvIH7LH6zRiz2JkX0rjPPrOBP/nSrsRezDxqjPH3h3aHBrxZ\nRNoaY9b551fhXuwoItOd45gG/B9s14yyfRWRD7AjbnwH7AROwB7fJz3rWoLtl/0fJ88G368TFRhj\nfhCRKYA7fONcbBelscDLxphlwZYNldPP/TBs1xalVB2kfa6VUvFktu8vAM6Nf25LdqAWv6HYoHIS\ndlSPPOCWQBswxuzA3uDXBnjb2Ad7eOfvwg7fNh24y/n7LHZIvc+qKrwx5g5s95W+2LGh38UOJ7cV\nO1JJWVYCd0/wp92NbUm9GjsiRX9si7wA3v69T2NbjB8E5lHxgiGcJzS+ATQXkZM8aVcBywIF1o7n\nnPJ5u2gEK0NZujFmEbZ7TwZ2X/4ftg/991Tc11nYm06fx44cch12rOqxnjyjsBc2HwLfYo/fgcoy\nDHthdQ126MSrnPX6x+M+4L740vzpg7G/SFR64qVSqm5wh5RSSimVAETkUmx/8ZONMfNqYXtfAj8a\nY0ZFe1sBtt0YO6rI27HYfjSIyAxgrTGm0kN0lFJ1gwbXSikVp5wW4wHYPub52D7idwA/GGP61lIZ\nemNb+g8zxoQ6Ukmo2/o7tn/9RuBQ4M/YvtTdjTFLornt2uDcZPsldtzstbEuj1IqOrTPtVJKxa89\nwOnADdh+35uxrdZ3V7VQJBljZovIbdinYEY1uMb2s34YO2pIAbaLy+l1IbB2ZAHDNbBWqm7Tlmul\nlFJKKaUiRG9oVEoppZRSKkI0uFZKKaWUUipCNLhWSimllFIqQjS4VkoppZRSKkI0uFZKKaWUUipC\n/j8YPivU/Lhh1wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11819c1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spec_time[0].plot(plot_two=spec_time[1],inline=True, scale_two=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pairs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### QPQ8 like"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Query on separation (angular and redshift)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ID_fg, ID_bg = igmsp.qcat.pairs(30*u.arcsec, 3000.*u.km/u.s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IGM_ID    RA      DEC     zem   flag_group sig_zem  flag_zem STYPE\n",
      "------ -------- -------- ------ ---------- ------- --------- -----\n",
      "   291   0.2461  28.3758  0.985          1  -1.000 BOSS_PCA    QSO\n",
      "   431   0.3669   8.6782  2.794          1   0.003 BOSS_PCA    QSO\n",
      "   848   0.7280  21.6517  1.877          1  -1.000 BOSS_PCA    QSO\n",
      "  1003   0.8555  13.4381  0.628          1  -1.000 BOSS_PCA    QSO\n",
      "  1635   1.3680  25.7650  2.545          1  -1.000 BOSS_PCA    QSO\n",
      "  2487   2.1692  17.1640  1.380          1  -1.000 BOSS_PCA    QSO\n",
      "  2745   2.3791  17.4591  0.665          1  -1.000 BOSS_PCA    QSO\n",
      "  2827   2.4458  12.0703  2.254          1   0.002 BOSS_PCA    QSO\n",
      "  2869   2.4857  26.2747  1.997          1   0.001 BOSS_PCA    QSO\n",
      "  2937   2.5424  32.9975  2.043          1  -1.000 BOSS_PCA    QSO\n",
      "   ...      ...      ...    ...        ...     ...       ...   ...\n",
      "398612 333.7025 -29.0618  1.933        256   0.000       2QZ   QSO\n",
      "399056 336.1957 -32.0044  0.686        256   0.000       2QZ   QSO\n",
      "399167 336.9184 -31.4639  0.618        256   0.000       2QZ   QSO\n",
      "399433 338.2633 -32.0759  0.988        256   0.000       2QZ   QSO\n",
      "400120 342.5932 -30.3432  0.596        256   0.000       2QZ   QSO\n",
      "400308 343.6958 -27.5069  0.706        256   0.000       2QZ   QSO\n",
      "400981 348.7568 -28.8349  0.773        256   0.000       2QZ   QSO\n",
      "400999 348.8418 -27.5980  0.649        256   0.000       2QZ   QSO\n",
      "402096 355.0771 -31.2407  0.609        256   0.000       2QZ   QSO\n",
      "402690 359.1418 -32.2136  1.093        256   0.000       2QZ   QSO\n",
      "402914  73.0593 -16.6713  2.600       4096   0.000     UNKWN   QSO\n",
      "Length = 1407 rows\n",
      "----------\n",
      "Group key:\n",
      "    BOSS_DR12: 1\n",
      "    HSTQSO: 4096\n",
      "    SDSS_DR7: 2\n",
      "    KODIAQ_DR1: 4\n",
      "    MUSoDLA: 8192\n",
      "    HD-LLS_DR1: 8\n",
      "    2QZ: 256\n",
      "    ESI_DLA: 512\n",
      "    XQ-100: 64\n",
      "    UVES_Dall: 16384\n",
      "    GGG: 16\n",
      "    UVpSM4: 32768\n",
      "    COS-Halos: 1024\n",
      "    HST_z2: 32\n",
      "    COS-Dwarfs: 2048\n",
      "    HDLA100: 128\n"
     ]
    }
   ],
   "source": [
    "igmsp.qcat.show_cat(ID_fg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Check for high dispersion spectrum in b/g QSOs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "highdisp_bg, in_highdisp = igmsp.qcat.find_ids_in_groups(['HD-LLS_DR1', 'KODIAQ_DR1'], IDs=ID_bg, in_all=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "&lt;Column name=&apos;IGM_ID&apos; dtype=&apos;int64&apos; length=1&gt;\n",
       "<table>\n",
       "<tr><td>382410</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Column name='IGM_ID' dtype='int64' length=1>\n",
       "382410"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "highdisp_bg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IGM_ID    RA      DEC     zem   flag_group sig_zem flag_zem STYPE\n",
      "------ -------- -------- ------ ---------- ------- -------- -----\n",
      "382410  73.0567 -16.6700  2.684          4   0.000   SIMBAD   QSO\n",
      "----------\n",
      "Group key:\n",
      "    BOSS_DR12: 1\n",
      "    HSTQSO: 4096\n",
      "    SDSS_DR7: 2\n",
      "    KODIAQ_DR1: 4\n",
      "    MUSoDLA: 8192\n",
      "    HD-LLS_DR1: 8\n",
      "    2QZ: 256\n",
      "    ESI_DLA: 512\n",
      "    XQ-100: 64\n",
      "    UVES_Dall: 16384\n",
      "    GGG: 16\n",
      "    UVpSM4: 32768\n",
      "    COS-Halos: 1024\n",
      "    HST_z2: 32\n",
      "    COS-Dwarfs: 2048\n",
      "    HDLA100: 128\n"
     ]
    }
   ],
   "source": [
    "igmsp.qcat.show_cat(highdisp_bg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IGM_ID    RA      DEC     zem   flag_group sig_zem flag_zem STYPE\n",
      "------ -------- -------- ------ ---------- ------- -------- -----\n",
      "402914  73.0593 -16.6713  2.600       4096   0.000    UNKWN   QSO\n",
      "----------\n",
      "Group key:\n",
      "    BOSS_DR12: 1\n",
      "    HSTQSO: 4096\n",
      "    SDSS_DR7: 2\n",
      "    KODIAQ_DR1: 4\n",
      "    MUSoDLA: 8192\n",
      "    HD-LLS_DR1: 8\n",
      "    2QZ: 256\n",
      "    ESI_DLA: 512\n",
      "    XQ-100: 64\n",
      "    UVES_Dall: 16384\n",
      "    GGG: 16\n",
      "    UVpSM4: 32768\n",
      "    COS-Halos: 1024\n",
      "    HST_z2: 32\n",
      "    COS-Dwarfs: 2048\n",
      "    HDLA100: 128\n"
     ]
    }
   ],
   "source": [
    "igmsp.qcat.show_cat(ID_fg[in_highdisp])"
   ]
  }
 ],
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